Mohand Hamadouche

ORCID: 0000-0001-7688-8307
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About
Contact & Profiles
Research Areas
  • Landslides and related hazards
  • Geotechnical Engineering and Soil Mechanics
  • Reinforcement Learning in Robotics
  • AI-based Problem Solving and Planning
  • Geotechnical and Geomechanical Engineering
  • Distributed systems and fault tolerance
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Anomaly Detection Techniques and Applications
  • Fatigue and fracture mechanics
  • UAV Applications and Optimization
  • Optimization and Search Problems
  • Soil, Finite Element Methods
  • Contact Mechanics and Variational Inequalities
  • Geomechanics and Mining Engineering
  • Advanced Manufacturing and Logistics Optimization
  • Structural Analysis and Optimization
  • Age of Information Optimization
  • Structural Load-Bearing Analysis
  • Mechanical stress and fatigue analysis
  • Soil and Unsaturated Flow
  • Composite Structure Analysis and Optimization
  • Advanced Malware Detection Techniques

Université de Bretagne Occidentale
2020-2025

Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
2020-2023

Centre National de la Recherche Scientifique
2002-2021

University of Boumerdes
2019-2020

École Centrale de Lille
2002

RWTH Aachen University
1999

10.1016/s0093-6413(99)00063-4 article EN Mechanics Research Communications 1999-09-01

Unmanned aerial vehicles are increasingly used in environments where human intervention is difficult, repetitive, and dangerous. They greatly improve mission quality, productivity, safety. Mission management of these complex autonomous requires independent online decisions. Markov decision processes (MDPs) the most widely probabilistic models for describing, modeling, solving decision-making problems under uncertainty. In order to take into account physical constraints safety requirements...

10.1109/icuas57906.2023.10156131 article EN 2022 International Conference on Unmanned Aircraft Systems (ICUAS) 2023-06-06

Markov Decision Process (MDP) becomes a standard model for sequential decision making under uncertainty. This planning gives the appropriate sequence of actions to perform goal mission in an efficient way. Often single agent makes decisions and performs action. However, several fields such as robotics can be executed simultaneously. Moreover, with increase complexity missions, decomposition MDP into sub-MDPs necessary. The involves parallel between different agents, but execution concurrent...

10.1109/dsn-w50199.2020.00025 preprint EN 2020-06-01

21 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> century has seen a lot of progress, especially in robotics. Today, the evolution electronics and computing capacities allows to develop more precise, faster autonomous robots. They are able automatically perform certain delicate or dangerous tasks. Robots should move, perceive their environment make decisions by taking into account goal(s) mission under uncertainty. One most current...

10.1109/icuas51884.2021.9476691 preprint EN 2022 International Conference on Unmanned Aircraft Systems (ICUAS) 2021-06-15

10.1016/j.soildyn.2019.105769 article EN Soil Dynamics and Earthquake Engineering 2019-08-09

10.1016/j.mechrescom.2020.103473 article EN Mechanics Research Communications 2020-01-01
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